DENG, Yongjian (邓勇舰) is currently an Assistant Professor at the Beijing University of Technology. He received the B.Eng. degree from the China University of Petroleum (Beijing) in 2016, the M.Sc. degree from the University of Florida in 2018, and the Ph.D. degree from the City University of Hong Kong in 2021. Since 2021, he has been an Assistant Professor in the College of Computer Science, Beijing University of Technology. From 2022 to 2024, he was also a Senior Research Associate with the Shenzhen Research Institute, City University of Hong Kong. His research interests include Bio-Inspired Vision, Computational Photography and Robot Vision. He has published 20+ papers at the top international AI conferences/journals.

🎉 News

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👋🏼 Openings

2025

拟接收：辅导博士研究生1名 (1/1)、硕士研究生2名 (0/2)。

长期有效

科研助理：非常欢迎对计算机视觉、计算摄影、机器人视觉有兴趣的研究生、本科生同学加入到我们的实验室！
优先但不限于：计算机、机械/机器人、力学/流体分析等学科背景同学。
详细信息见 ➡️ 招生介绍

📝 Publications

^: Supervised student †: Equal contribution 📧: Corresponding author

Peer-reviewed Articles

2025

Yucheng Zhao^, Gengyu Lyu, Ke Li, Zihao Wang, Hao Chen, Zhen Yang, Yongjian Deng📧, "ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance". In The AAAI Conference on Artificial Intelligence (AAAI). (Oral: Top 5%)

Ke Li^, Gengyu Lyu, Hao Chen, Bochen Xie, Zhen Yang, Youfu Li, Yongjian Deng📧, "Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation". In The AAAI Conference on Artificial Intelligence (AAAI).

Zihao Wang^, Yiming Huang^, Gengyu Lyu, Yucheng Zhao, Ziyu Zhou, Bochen Xie, Zhen Yang, Yongjian Deng📧, "MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds". In The AAAI Conference on Artificial Intelligence (AAAI).

Yuena Lin, Yiyuan Wang, Gengyu Lyu, Yongjian Deng, Haichun Cai, Huibin Lin, Haobo Wang, Zhen Yang, "Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary". In The Thirteenth International Conference on Learning Representations (ICLR).

Y. Liu^, Yongjian Deng📧, B. Xie, H. Liu, Z. Yang and Y. Li, "Neuromorphic Event-Based Recognition Boosted by Motion-Aware Learning". In Neurocomputing (NEUCOM).

H Meng, Yongjian Deng, Q Zhong, Y Wang, Z Yang, G Lyu, "Federated Multi-View Multi-Label Classification". In IEEE Transactions on Big Data.

2024

Y. Liu^, Yongjian Deng📧, H. Chen, and Y. Li, "Video Frame Interpolation via Direct Synthesis with the Event-based Reference". In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Yongjian Deng, H. Chen, and Y. Li, "A Dynamic Graph CNN with Cross-Representation Distillation for Event-Based Recognition". In The AAAI Conference on Artificial Intelligence (AAAI).

B. Yao^, Yongjian Deng📧, Y. Liu, H. Chen, and Z. Yang, "SAM-Event-Adapter: Adapting Segment Anything Model for Event-RGB Semantic Segmentation". In IEEE International Conference on Robotics and Automation (ICRA).

F. Shen, C. Li, Y. Geng, Yongjian Deng, H. Chen, "Prune and Repaint: Content-Aware Image Retargeting for any Ratio". In The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS).

H. Chen, Y. Zhu and Yongjian Deng, "A Trajectory-aware Spatio-temporal Graph for Video Salient Object Ranking". In The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS).

B. Xie†, Yongjian Deng†, Z. Shao, Q. Xu and Y. Li, "Event voxel set transformer for spatiotemporal representation learning on event streams". In IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT).

F. Shen, C. Li, Y. Geng, Yongjian Deng and H. Chen, "Disentangled Cross-Modal Transformer for RGB-D Salient Object Detection and Beyond". In IEEE Transactions on Image Processing (IEEE TIP).

Y. Wang, X. Zhang, Y. Lai, Z. Zhao and Yongjian Deng, "Hifoots: A Highly Efficient DDoS Attack Detection Scheme Deployed in Smart IoT Homes". In IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN).

H. Wang^, Yongjian Deng📧 and T. Liu, "基于DINO先验的混合特征面部表情识别模型". In 计算机工程.

H. Liu, Q. Chen, Z. Liu, Yongjian Deng, Z. Zhang and Y. Li, "FSLNet: Leveraging Skeleton Cue Guided FBIC for Bionic Intelligent Surveillance Robot via Transformer". In The IEEE International Conference on Robotics and Biomimetics (ROBIO). (Best Poster Award Finalist)

2023

C. Zhang, H. Liu, Yongjian Deng, B. Xie, Y. Li, "TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers". In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

B. Xie, Yongjian Deng, Z. Shao and Y. Li, "EISNet: A Multi-Modal Fusion Network for Semantic Segmentation with Events and Images". In IEEE Transactions on Multimedia (IEEE TMM).

H., Liu, C. Zhang, Yongjian Deng, B. Xie, T. Liu, Z. Zhang, and Y. Li, "TransIFC: Invariant Cues-aware Feature Concentration Learning for Efficient Fine-grained Bird Image Classification". In IEEE Transactions on Multimedia (IEEE TMM).

H. Liu, C. Zhang, Yongjian Deng, T. Liu, Z. Zhang and Y. Li, "Orientation Cues-Aware Facial Relationship Representation for Head Pose Estimation via Transformer". In IEEE Transactions on Image Processing (IEEE TIP).

2022

Yongjian Deng, H. Chen, H. Liu and Y. Li, "A Voxel Graph CNN for Object Classification with Event Cameras". In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Yongjian Deng, H. Chen and Y. Li, "MVF-Net: A Multi-View Fusion Network for Event-Based Object Classification". In IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT).

B. Xie†, Yongjian Deng†, Z. Shao, H. Liu and Y. Li, "Volumetric Multi-View Based Graph CNN for Object Classification with Event Cameras". In IEEE Robotics and Automation Letters (IEEE RA-L) with ICRA option.

2021

B. Xie, Yongjian Deng, Z. Shao, H. Liu, Q. Xu, and Y. Li, "A Voxel Graph CNN for Object Classification with Event Cameras". In 2022 7th International Conference on Control, Robotics and Cybernetics (CRC).

Yongjian Deng, H. Chen, H. Liu and Y. Li, "Learning from Images: A Distillation Learning Framework for Event Cameras". In IEEE Transactions on Image Processing (IEEE TIP).

H. Chen, Y. Li, Yongjian Deng, and G. Lin, "CNN-based RGB-D Salient Object Detection: Learn, Select, and Fuse". In International Journal of Computer Vision (IJCV).

2020

Yongjian Deng, Y. Li and H. Chen, "AMAE: Adaptive Motion-Agnostic Encoder for Event-Based Object Classification". In IEEE Robotics and Automation Letters (IEEE RA-L) with IROS option.

H. Chen, Yongjian Deng, Y. Li, T. Hung, and G. Lin, "RGBD Salient Object Detection via Disentangled Cross-Modal Fusion". In IEEE Transactions on Image Processing (IEEE TIP).

Preprints

Q Zhou, J Hou, M Yang, Yongjian Deng, Y Li, J Xiong, "Spatially-guided Temporal Aggregation for Robust Event-RGB Optical Flow Estimation". In Arxiv.

Q Zhou, Z Zhu, J Hou, Yongjian Deng, Y Li, J Xiong, "ResFlow: Fine-tuning Residual Optical Flow for Event-based High Temporal Resolution Motion Estimation". In Arxiv.

Y Tian, H Chen, Yongjian Deng, F Shen, K Liu, W You, Z Zhang, "EventAug: Multifaceted Spatio-Temporal Data Augmentation Methods for Event-based Learning". In Arxiv.

💼 Services

Conference Reviewer

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE/CVF International Conference on Computer Vision (ICCV)
European Conference on Computer Vision (ECCV)
International Conference on Robotics and Automation (ICRA)
International Conference on Intelligent Robots and Systems (IROS)

Journal Reviewer

IEEE Transactions on Pattern Aanlysis and Machine Intelligence (TPAMI)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Pattern Reocognition (PR)

Yongjian Deng (邓勇舰)